Platform Overview
AI that reads documents the way people do
Zyflox combines OCR, layout understanding and language models into one pipeline, turning any document into structured data your systems can use.
How the pipeline works
Ingestion → Extraction → Validation → Export
Step 1
Ingestion
Documents arrive via drag-drop, email, API or integrations.
Step 2
AI Extraction
OCR + LLM models read layout, text and context to pull fields.
Step 3
Validation
Confidence scoring and human-in-the-loop review catch edge cases.
Step 4
Export
Clean, structured data flows to your systems automatically.
Built for accuracy
Three layers working together
Accuracy isn't one model, it's a system. Zyflox layers proven techniques so the output you get is dependable enough to trust in production.
OCR & layout detection
Reads text, tables and structure, even from scans and photos.
LLM field extraction
Understands context to map content to the fields you actually need.
Human-in-the-loop validation
Low-confidence fields are flagged for a quick one-click review.
Confidence-scored output
Invoice #INV-204399%
VendorAcme Corp98%
PO NumberPO-887174%
Total$12,480.0099%
Fields below 80% confidence are flagged for review.
Manual entry vs. Zyflox
The difference is measurable
| Manual entry | Zyflox | |
|---|---|---|
| Time per document | 6–12 min | ~4 sec |
| Error rate | 1 in 20 fields | <1% |
| Cost per 1,000 docs | $300–$600 | From $40 |
| Scales with volume | Hire more people | Instantly |
See it on your documents
Upload a sample document and watch Zyflox structure it live.
Try the live demo